These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

162 related articles for article (PubMed ID: 38796443)

  • 1. Prediction of influenza outbreaks in Fuzhou, China: comparative analysis of forecasting models.
    Chen Q; Zheng X; Shi H; Zhou Q; Hu H; Sun M; Xu Y; Zhang X
    BMC Public Health; 2024 May; 24(1):1399. PubMed ID: 38796443
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Study on the prediction effect of a combined model of SARIMA and LSTM based on SSA for influenza in Shanxi Province, China.
    Zhao Z; Zhai M; Li G; Gao X; Song W; Wang X; Ren H; Cui Y; Qiao Y; Ren J; Chen L; Qiu L
    BMC Infect Dis; 2023 Feb; 23(1):71. PubMed ID: 36747126
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A new hybrid model SARIMA-ETS-SVR for seasonal influenza incidence prediction in mainland China.
    Zhao D; Zhang R
    J Infect Dev Ctries; 2023 Nov; 17(11):1581-1590. PubMed ID: 38064398
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Forecasting and analyzing influenza activity in Hebei Province, China, using a CNN-LSTM hybrid model.
    Li G; Li Y; Han G; Jiang C; Geng M; Guo N; Wu W; Liu S; Xing Z; Han X; Li Q
    BMC Public Health; 2024 Aug; 24(1):2171. PubMed ID: 39135162
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Forecasting seasonal influenza activity in Canada-Comparing seasonal Auto-Regressive integrated moving average and artificial neural network approaches for public health preparedness.
    Orang A; Berke O; Poljak Z; Greer AL; Rees EE; Ng V
    Zoonoses Public Health; 2024 May; 71(3):304-313. PubMed ID: 38331569
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Statistical machine learning models for prediction of China's maritime emergency patients in dynamic: ARIMA model, SARIMA model, and dynamic Bayesian network model.
    Yang P; Cheng P; Zhang N; Luo D; Xu B; Zhang H
    Front Public Health; 2024; 12():1401161. PubMed ID: 39022407
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Comparison of SARIMA model, Holt-winters model and ETS model in predicting the incidence of foodborne disease.
    Xian X; Wang L; Wu X; Tang X; Zhai X; Yu R; Qu L; Ye M
    BMC Infect Dis; 2023 Nov; 23(1):803. PubMed ID: 37974072
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The comparative analysis of SARIMA, Facebook Prophet, and LSTM for road traffic injury prediction in Northeast China.
    Feng T; Zheng Z; Xu J; Liu M; Li M; Jia H; Yu X
    Front Public Health; 2022; 10():946563. PubMed ID: 35937210
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Time series prediction of under-five mortality rates for Nigeria: comparative analysis of artificial neural networks, Holt-Winters exponential smoothing and autoregressive integrated moving average models.
    Adeyinka DA; Muhajarine N
    BMC Med Res Methodol; 2020 Dec; 20(1):292. PubMed ID: 33267817
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Combined Model of SARIMA and Prophet Models in Forecasting AIDS Incidence in Henan Province, China.
    Luo Z; Jia X; Bao J; Song Z; Zhu H; Liu M; Yang Y; Shi X
    Int J Environ Res Public Health; 2022 May; 19(10):. PubMed ID: 35627447
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Time series analysis of hemorrhagic fever with renal syndrome in mainland China by using an XGBoost forecasting model.
    Lv CX; An SY; Qiao BJ; Wu W
    BMC Infect Dis; 2021 Aug; 21(1):839. PubMed ID: 34412581
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Exploring the influence of environmental indicators and forecasting influenza incidence using ARIMAX models.
    Zheng X; Chen Q; Sun M; Zhou Q; Shi H; Zhang X; Xu Y
    Front Public Health; 2024; 12():1441240. PubMed ID: 39377003
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Applying SARIMA, ETS, and hybrid models for prediction of tuberculosis incidence rate in Taiwan.
    Kuan MM
    PeerJ; 2022; 10():e13117. PubMed ID: 36164599
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Research on hand, foot and mouth disease incidence forecasting using hybrid model in mainland China.
    Zhao D; Zhang H; Zhang R; He S
    BMC Public Health; 2023 Mar; 23(1):619. PubMed ID: 37003988
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predicting Seasonal Influenza Based on SARIMA Model, in Mainland China from 2005 to 2018.
    Cong J; Ren M; Xie S; Wang P
    Int J Environ Res Public Health; 2019 Nov; 16(23):. PubMed ID: 31783697
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Improving the precision of modeling the incidence of hemorrhagic fever with renal syndrome in mainland China with an ensemble machine learning approach.
    Ye GH; Alim M; Guan P; Huang DS; Zhou BS; Wu W
    PLoS One; 2021; 16(3):e0248597. PubMed ID: 33725011
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Comparison of SARIMA model and Holt-Winters model in predicting the incidence of Sjögren's syndrome.
    Wang S; Wei F; Li H; Wang Z; Wei P
    Int J Rheum Dis; 2022 Nov; 25(11):1263-1269. PubMed ID: 35962522
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Application of exponential smoothing method and SARIMA model in predicting the number of admissions in a third-class hospital in Zhejiang Province.
    Yang W; Su A; Ding L
    BMC Public Health; 2023 Nov; 23(1):2309. PubMed ID: 37993836
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Statistical methods for predicting tuberculosis incidence based on data from Guangxi, China.
    Zheng Y; Zhang L; Wang L; Rifhat R
    BMC Infect Dis; 2020 Apr; 20(1):300. PubMed ID: 32321419
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Construction of Prediction Model of Foodborne Disease Outbreaks and Its Trend Prediction - Guizhou Province, China, 2023-2025.
    Zhang L; Xiong S; Zhu S; Tian J; Chen Q; Luo X; Guo H
    China CDC Wkly; 2024 May; 6(18):408-412. PubMed ID: 38737480
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.